Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare. (arXiv:2204.13194v1 [cs.HC])

An important goal in the field of human-AI interaction is to help users more
appropriately trust AI systems' decisions. A situation in which the user may
particularly benefit from more appropriate trust is when the AI receives
anomalous input or provides anomalous output. To the best of our knowledge,
this is the first work towards understanding how anomaly alerts may contribute
to appropriate trust of AI. In a formative mixed-methods study with 4
radiologists and 4 other physicians, we explore …

alerts arxiv decision healthcare making